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Chromosome files in the 'Fasta' format usually contain large sequences like human genome. Sometimes users have to split these chromosomes into different files according to their chromosome number. The 'chromseq' can help to handle this. So the selected chromosome sequence can be used for downstream analysis like motif finding. Howard Y. Chang(2019) <doi:10.1038/s41587-019-0206-z>.
| Version: | 0.1.3 |
| Depends: | R (≥ 2.10) |
| Imports: | utils, base |
| Published: | 2020-05-11 |
| DOI: | 10.32614/CRAN.package.chromseq |
| Author: | Shaoqian Ma [aut, cre] |
| Maintainer: | Shaoqian Ma <897341109 at qq.com> |
| BugReports: | https://github.com/MSQ-123/chromseq/issues |
| License: | Artistic-2.0 |
| URL: | https://github.com/MSQ-123/chromseq |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | chromseq results |
| Reference manual: | chromseq.pdf |
| Package source: | chromseq_0.1.3.tar.gz |
| Windows binaries: | r-devel: chromseq_0.1.3.zip, r-release: chromseq_0.1.3.zip, r-oldrel: chromseq_0.1.3.zip |
| macOS binaries: | r-release (arm64): chromseq_0.1.3.tgz, r-oldrel (arm64): chromseq_0.1.3.tgz, r-release (x86_64): chromseq_0.1.3.tgz, r-oldrel (x86_64): chromseq_0.1.3.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.